class_docstr: Test that rotation merging works in all interfaces.
docstr: Test QNode and gradient in torch interface.
docstr_tok: ["Test","QNode","and","gradient","in","torch","interface","."]
code: def test_merge_rotations_torch(self):
      """Test QNode and gradient in torch interface."""
      import torch
  
      original_qnode = qml.QNode(qfunc_all_ops, dev)
      transformed_qnode = qml.QNode(transformed_qfunc_all_ops, dev)
  
      original_input = torch.tensor(
          [0.1, 0.2, 0.3, 0.4], requires_grad=True
      )
      transformed_input = torch.tensor(
          [0.1, 0.2, 0.3, 0.4], requires_grad=True
      )
  
      original_result = original_qnode(original_input)
      transformed_result = transformed_qnode(transformed_input)
  
      # Check that the numerical output is the same
      assert qml.math.allclose(
          original_result, transformed_result.detach().numpy()
      )
  
      # Check that the gradient is the same
      original_result.backward()
      transformed_result.backward()
  
      assert qml.math.allclose(
          original_input.grad, transformed_input.grad
      )
  
      # Check operation list
      ops = transformed_qnode.qtape.operations
      compare_operation_lists(
          ops, expected_op_list, expected_wires_list
      )
  
imports: import pytest
  from utils import compare_operation_lists
  import pennylane
  from pennylane import numpy
  from pennylane.wires import Wires
  from pennylane.transforms.optimization import merge_rotations
label_desc: Use image node_id 2 for calling the TestMergeRotationsInterfaces obj's underlying member method code with example usage: obj.test_merge_rotations_torch() without return types